Candidate Status
Available
about
Analytical and detail-oriented Epidemiologist and Data Scientist with a strong foundation in biostatistics, mathematical modelling, and public health research. Experienced in applying statistical and computational methods to study disease patterns, assess risk factors, and support evidence-based health interventions. Skilled in data management, analysis, and visualization using R, STATA, SQL, and Tableau. Demonstrated ability to conduct epidemiological studies, develop predictive models for disease outcomes, and translate complex health data into actionable insights. Passionate about leveraging data science and mathematical modelling to improve disease surveillance, strengthen healthcare systems, and inform policy decisions in population health.
education
Cooperative Masters of Science in Mathematical Epidemiology
African Institute for Mathematical Sciences (AIMS) Cameroon
September 2025 - 2027
Bachelor of Science in Applied Statistics with Computing
Moi University, Kenya
2019 - 2024
Experience
Statistician Intern
Kenya Medical Research Institution, Kisumu Kenya
September 2022 - December 2022
skills
Python, R, STATA, MySQL, Power BI, Tableau, Advance Excel, MongoDB, SQL, Pandas, Numpy, Tidyverse, Matplotlib, Shiny, Scikit- learn, XGBoost, LightGBM, TensorFlow / Keras, English, Git / Github / GitLab, REST APIs
Areas of Competence
Data Cleaning, Epidemiological modeling, Hypothesis testing, Interdisciplinary problem solving, Dashboard design, Data Analysis
contact details
Country
Kenya
David Apamo Owuor
